Last login: today on ttys001 · rygg by leefs · type help when the session is ready
guest@rygg.ai ~ % rygg
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|___/ |___/ |___/# human-centered context graph for organizations, products and AI agents
Decisions need context.
So do agents.
rygg makes your organization’s knowledge about its users explicit: one maintained graph for the whole organization, for product development and for AI agents.
rygg is Swedish and Norwegian for backbone.
guest@rygg.ai ~ % rygg layers
- L1 ontology
- [licensed] Which concepts exist and how they relate, from context of use to metric. Managed by us, with our method network.
- L2 context
- [yours, maintained] User groups, tasks, conditions, needs and requirements of your context of use.
- L3 evidence
- [yours, maintained] Findings, decisions, metrics. Each with a status: evidence or assumption.
# step 1: license the ontology · step 2: add research, evaluation and evidence
guest@rygg.ai ~ % rygg trace TC-31 --why
[*] TC-31 Test braking distance on a wet road [ai suggestion · awaiting review]
- L1 Concept: Safety requirement ontology
- L2 REQ-114 Braking distance, wet road context
- L3 Finding P-22 · tested evidence
-> approval stays with people. # sample data
guest@rygg.ai ~ % rygg chain
- Context of use Conditions · User groups · Tasks · Current scenarios
- User requirements Needs · User requirements
- Solution Design solutions · Design decisions
- Evaluation Evaluation measures · Evaluation findings
- Metrics Metrics
# every metric traces back to an observation. more
guest@rygg.ai ~ % rygg use-cases
- [h] Human-centered Enterprise
- A shared model of what the organization does, for whom and why, from apprentice to board.
- [v] Human-centered Product Development
- Activities and decisions in product development focused on outcomes for users, and through them on economic results.
- [*] AI-augmented Engineering
- Agents in engineering, documentation and service that ask the graph instead of making assumptions.
guest@rygg.ai ~ % rygg offer --list
- [h] Evidence
- Research and design to HCRD standards. Results are documented so they can become part of a graph. [project]
- [~] Pilot
- Four to eight weeks, one slice of your organization, one product line or one agent task as a graph. [4 to 8 weeks]
- [v] Graph
- A maintained domain model of your context of use, validated against HCRD standards with every release. [subscription, 12 months minimum]
- [*] Context Layer
- We run the graph as a knowledge layer for your agents and embed Research & Design Engineers in your teams. [framework agreement, 12 months minimum]
# pricing on request · legend: [h] human [~] ai working [v] verified [*] ai suggestion
guest@rygg.ai ~ % rygg start
Next step: a free starting point session. [ok]
[h] Evidence # where the graph starts
Research and design to HCRD standards. Results are documented so they can become part of a graph.
term: project
pricing: fixed price per work package or day rate, amounts on request
[~] Pilot # try rygg on your own context
Four to eight weeks, one slice of your organization, one product line or one agent task as a graph.
term: 4 to 8 weeks
pricing: fixed price including evaluation license, amounts on request
[v] Graph # your context of use, maintained
A maintained domain model of your context of use, validated against HCRD standards with every release.
term: subscription, 12 months minimum
pricing: setup fee plus annual subscription, amounts on request
[*] Context Layer # rygg in operation, measured by results
We run the graph as a knowledge layer for your agents and embed Research & Design Engineers in your teams.
term: framework agreement, 12 months minimum
pricing: base fee plus bonus on agreed metrics, optional usage component for agent queries, amounts on request
[h] Human-centered Enterprise
One shared picture of what your organization knows.
rygg gives everyone in the organization, from apprentice to board, the same answers to the basic questions: what we do, for whom, which problems we solve and what sets us apart. Each answer shows whether it is evidence or assumption.
[v] Human-centered Product Development
Product decisions that rest on users, not on opinions.
rygg connects roadmaps, requirements and designs with the evidence about users and contexts of use. Teams focus on outcomes that matter to users and therefore to the business, and every decision shows what it rests on.
[*] AI-augmented Engineering
Agents that know who your products are for.
AI agents write requirements, test cases, code and documentation in minutes. rygg gives them the knowledge about users and contexts of use that they cannot get from code or tickets, and every suggestion shows where it comes from.